Airbnb Data Scientist Algorithms AirCover 

United States 

667969033

A Typical Day:

• Develop accurate, agile, and explainable fraud detection systems to guard platform quality
• Detect various intents across various entry points with large scale unstructured data using NLP methods
• Collect evidence from images and receipts to gauge monetary value of the request leveraging computer vision
• Utilize Deep Learning techniques for advanced feature engineering and model building, e.g., how to model for user behavior sequences,
• Integrate causal modeling with ML models in order to improve performance of model-derived interventions.

Your Expertise:

• 2+ years of relevant industry experience (e.g. ML scientist, tech lead, junior faculty) and a Master’s degree or PhD in relevant fields
• Strong fluency in Python and SQL, experience with Tensorflow, PyTorch, Airflow and data warehouse
• Deep understanding of Machine Learning lifecycle best practices (eg. training/serving, feature engineering, feature/model selection, labeling, A/B test), algorithms (eg. gradient boosted trees, neural networks/deep learning, optimization) and domains (eg. natural language processing, computer vision, personalization and recommendation)
• Proven ability to communicate clearly and effectively to audiences of varying technical levels, observation causal inference skill is a plus
• Proven mix of strong intellectual curiosity with high level of pragmatism and engagement with the technical community. Publications or presentations in recognized journals/conferences is a plus

Offices: United States